AI Product Consulting & 0-to-1 AI Products

From idea to a validated AI MVP — then to scale

Most AI initiatives die in slide decks. FastTech takes them from a raw idea to a validated, working MVP and then to enterprise scale. We pair product strategy with the ability to build, so the strategy is proven in code and tested with real users — not asserted in a roadmap.

This is AI product consulting for founders and product leaders standing at the front of a new AI product, feature, or business line. We lead the full 0-to-1 arc: sharpening the opportunity, pressure-testing the riskiest assumptions, designing the product, and shipping something real that users can touch. We define what to build and why, where AI genuinely earns its place versus where it adds cost and risk, and how the first version proves the thesis before heavy investment follows.

AI MVP development with the WASP method

At the core is WASP, our Weekly AI Sprint Protocol: a structured path from challenge to a validated, working MVP in five business days. Not slides, not mockups, but a working prototype tested with real users.

WASP runs in three phases. Challenge Scoping frames the real problem and the success criteria. Problem Space maps users, constraints, and the assumptions most likely to break the idea. Solution Space builds and validates the prototype against them. The output is evidence: a thing that works, signal from real usage, and a clear call on whether to scale, pivot, or stop — before you commit a six-figure budget to it.

A week is short enough to force focus and long enough to build something real. You replace months of speculative planning with five days of evidence, and you only invest further in what has already proven itself.

Strategy proven in code

The reason this works is that the people setting the strategy are the same people who build. Technical trade-offs get made with judgment rather than guesswork, and the product thesis is tested against reality instead of defended in a deck. AI product strategy that cannot be built is just an opinion; we close that loop in the same engagement.

Evidence, not assertion

Our team has run this arc repeatedly. We built an enterprise AI quality suite at sprint speed — a calibration framework that took contact-centre QA from under 1% manual sampling to 100% automated coverage at 82% accuracy across 51 accounts and 9,400 users, architected to scale to 9M+ daily interactions.

For a UNICEF-backed AI fintech, we shipped AI-powered wealth management alongside five PhDs, then pivoted to financial inclusion — delivering $650K in microloans to 330 underbanked people and earning recognition as a Digital Public Good. On other 0-to-1 products we co-founded and led a B2B SaaS platform that closed seven agencies, and grew a community to 32 paying customers, pitching at South Summit, Warsaw and DES Malaga.

Idea to validated MVP to scale, fast. If that is the arc you are on, that is the work we lead.